My research interests can be identified by the broad domain of artificial intelligence while the main direction is related to Bayesian networks.

I am a member of Decision Systems Laboratory (DSL), the research group at the University of Pittsburgh, which specializes in decision-theoretic approach to artificial intelligence. Our group created and is continuously developing SMILE & GeNIe - software for decision support based on influence diagrams and Bayesian networks.

My primary responsibility in the group is research on various aspects of independence of causal interactions in Bayesian networks and qualitative models, which hopefully will lead toward my Ph.D. dissertation. Additionally I use my
software engineering and programming skills by taking an active role in development of SMILE.

The second field of my interests is related to the broad domain of modeling. I have
a great opportunity to develop and verify my modeling skills in real life domains being a member of the IISIS project at University Center for Social and Urban Research, University of Pittsburgh. IISIS is a multidisciplinary project, which goal is to improve response to hazardous situations where population is at risk by improvement of multiorganizational communication and application of information technology. My role in this project is designing prototypes of models capturing various aspects of disaster management.

I spent two consecutive summers working for HRL Laboratories in Malibu, CA. During that period I was developing software and models for diagnostic systems based on Bayesian networks. Additionally, I was translating diagnostic information from various modeling techniques into Bayesian networks. Work at HRL resulted in my interest in diagnostic problems, which I still maintain.